March 2016, a game against Google DeepMind's artificial intelligence program AlphaGo defeated a world top-level South Korean player Lee Sedol in a landslide 4-1 victory. If Lee had lost to Go, it would only have been a matter of time before he improved enough to surpass the Google DeepMind's artificial intelligence.
Go is continuously evolving. According to Lee, the reigning top-ranked Go player has acknowledged that human beings are no match for robots in the complex game after he lost three games. The main objective of the game is to fully surround a larger total area of the board with one stone than the opponents.
AlphaGo is a computer program developed by Google DeepMind in London to paly the board game Go. Go is played by two players. It is an abstract strategy board game in which the aim is to surround more territory than the opponent. It has both a larger board with more scope for play and longer games and many alternatives to consider per move.
In a statement, Baidu said that globally there are many robots versus human contest most that focuses on chess games and quizzes. He added that robots' facial and voice recognition is a huge challenge while humans have an advantage. In order for the robots to achieve greater accuracy, they require a great deal of training with huge amounts of data.
Baidu mentioned that the training may include identifying people from old unclear pictures. Through millions of years of evolutionary history, humans have developed the ability in recognizing and memorizing human voices and faces instantly.
When Google confirmed the artificial intelligence identity, there should have been no doubts that the Master is not a human. For Go team coach, only a robot could make a move for almost every five seconds in fast paced game requiring only each player to make at least three moves every 20 seconds. The achievement of AlphaGo's victory is nevertheless was achieved by adopting general or multi-purpose rather than narrow or task specific intelligence.
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